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» Classifiers in Japanese-to-English Machine Translation
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ACL
2001
13 years 6 months ago
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
COLING
1996
13 years 6 months ago
Classifiers in Japanese-to-English Machine Translation
Francis Bond, Kentaro Ogura, Satoru Ikehara
ACL
2010
13 years 2 months ago
Balancing User Effort and Translation Error in Interactive Machine Translation via Confidence Measures
This work deals with the application of confidence measures within an interactivepredictive machine translation system in order to reduce human effort. If a small loss in translat...
Jesús González-Rubio, Daniel Ortiz-M...
CICLING
2010
Springer
13 years 8 months ago
Identification of Translationese: A Machine Learning Approach
This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in...
Iustina Ilisei, Diana Inkpen, Gloria Corpas Pastor...
COLING
2008
13 years 6 months ago
Sentence Type Based Reordering Model for Statistical Machine Translation
Many reordering approaches have been proposed for the statistical machine translation (SMT) system. However, the information about the type of source sentence is ignored in the pr...
Jiajun Zhang, Chengqing Zong, Shoushan Li